Work

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network

Year: 2019

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2019.05.037

Authors: Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li

Institutions: University of North Carolina at Chapel Hill, Nanjing University of Aeronautics and Astronautics, Korea University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Royal Society, Academy of Medical Sciences, National Natural Science Foundation of China, National Institutes of Health, National Key Research and Development Program of China, National Institute of Mental Health

Awards: G1085568942, G3172199577, Volume-based Analysis of 6-month Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis, G5366958025, G597442328, Constructing 4-dimensional Infant Cortical Surface Atlases, G6974226504, G7803934831, G8357599631, G8653298063, G886436862, G9000065296, G9000130198, G9000135105, G9000209393, G9000283844, G9000327279, G904464750, G913149829

OpenAlex ID: W2945727247

FWCI: 1.788

Cites: 59

Cited by: 27

Related to: 10